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- Tasks: Join our team to develop and test automated trading strategies using advanced statistical techniques.
- Company: Citadel Securities is a leading global market maker, innovating in capital markets.
- Benefits: Work in a fast-paced environment with opportunities for growth and innovation.
- Why this job: Challenge yourself with complex data sets and make a real impact in finance.
- Qualifications: Bachelor’s or master’s in a quantitative field; coding skills in Python, R, or C++ required.
- Other info: Opportunities available in London for 2025 university graduates.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
Your Objectives
- Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code.
- Back test and implement trading models and signals in a live trading environment.
- Use unconventional data sources to drive innovation.
- Conduct research and statistical analysis to build and refine monetization systems for trading signals.
Your Skills & Talents
- Bachelor’s or master’s degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field.
- Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP).
- Prior experience working in a data-driven research environment.
- Experience with translating mathematical models and algorithms into code (Python, R, or C++).
- Independent research experience.
- Ability to manage multiple tasks and thrive in a fast-paced team environment.
- Excellent analytical skills, with strong attention to detail.
- Strong written and verbal communication skills.
Opportunities available in London.
About Citadel Securities
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science, and technology use powerful, advanced analytics to solve the market’s most critical challenges, turning big ideas into real-world outcomes.
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Quantitative Research Analyst – 2025 University Graduate employer: Citadel Securities
Contact Detail:
Citadel Securities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Analyst – 2025 University Graduate
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative research and trading strategies. Follow industry leaders on social media and read relevant publications to stay updated on new techniques and tools that are being used in the field.
✨Tip Number 2
Engage in online communities or forums related to quantitative finance and data analysis. Networking with professionals in these spaces can provide you with insights into the hiring process and what specific skills are currently in demand.
✨Tip Number 3
Consider working on personal projects that involve developing and testing trading algorithms. This hands-on experience will not only enhance your skills but also give you concrete examples to discuss during interviews.
✨Tip Number 4
Prepare for technical interviews by practicing coding challenges and statistical problems. Websites like LeetCode or HackerRank can be great resources to sharpen your programming skills in Python, R, or C++.
We think you need these skills to ace Quantitative Research Analyst – 2025 University Graduate
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Research Analyst position at Citadel Securities. Understand the key responsibilities and required skills, especially in statistical techniques and programming languages like Python, R, or C++.
Highlight Relevant Experience: In your CV and cover letter, emphasize any prior experience you have in data-driven research environments. Showcase specific projects where you applied mathematical models or algorithms, particularly those that involved back testing or implementing trading strategies.
Showcase Your Skills: Clearly outline your proficiency in probability, statistics, and machine learning in your application. Provide examples of how you've used these skills in practical scenarios, such as conducting research or developing innovative solutions using unconventional data sources.
Tailor Your Application: Customize your CV and cover letter to reflect the language and requirements mentioned in the job description. Use keywords from the listing to demonstrate that you are a perfect fit for the role and align with the company's goals.
How to prepare for a job interview at Citadel Securities
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, R, or C++. Highlight specific projects where you translated mathematical models into code, as this is crucial for the role.
✨Demonstrate Your Analytical Thinking
Expect questions that assess your understanding of probability and statistics. Be ready to explain complex concepts in simple terms, showcasing your strong analytical skills and attention to detail.
✨Prepare for Case Studies
You might be presented with real-world scenarios or case studies during the interview. Practice how you would approach these problems, focusing on your thought process and the statistical techniques you would apply.
✨Communicate Effectively
Strong written and verbal communication skills are essential. Practice explaining your research and findings clearly and concisely, as you'll need to convey complex ideas to both technical and non-technical audiences.
